About: Modelling of dynamical dependability by using stochastic processes

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.esrel2011.com
Description	This paper on the topic of „Modelling of dynamical dependability by using stochastic processes“ has the main aim of expanding the Markov analysis (in dependability) by adding an instrument, which allows learning and describing time and performance dynamics of complicated systems, especially network structure. The base hypothesis of the Markov analysis is that failure and repair rates between two postures are constant. The instrument for time dynamics can solve tasks whose failure and repair rates are not constant and also solve repairs in predetermined maintenance. Mathematical solving of this problem is based on a construction of differential equations with non-constant parameters and their solution. The Runge-Kutta method is used for components, which are as „good as old“. The Monte Carlo method is usually used for components of a system, which are as “good as new”. This paper on the topic of „Modelling of dynamical dependability by using stochastic processes“ has the main aim of expanding the Markov analysis (in dependability) by adding an instrument, which allows learning and describing time and performance dynamics of complicated systems, especially network structure. The base hypothesis of the Markov analysis is that failure and repair rates between two postures are constant. The instrument for time dynamics can solve tasks whose failure and repair rates are not constant and also solve repairs in predetermined maintenance. Mathematical solving of this problem is based on a construction of differential equations with non-constant parameters and their solution. The Runge-Kutta method is used for components, which are as „good as old“. The Monte Carlo method is usually used for components of a system, which are as “good as new”. (en)
Title	Modelling of dynamical dependability by using stochastic processes Modelling of dynamical dependability by using stochastic processes (en)
skos:prefLabel	Modelling of dynamical dependability by using stochastic processes Modelling of dynamical dependability by using stochastic processes (en)
skos:notation	RIV/46747885:24220/11:#0001868!RIV12-MSM-24220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1M0554)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Chudoba, Josef
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Technická univerzita v Liberci / Fakulta mechatroniky, informatiky a mezioborových studií
http://linked.open...dnocenehoVysledku	213080
http://linked.open...ai/riv/idVysledku	RIV/46747885:24220/11:#0001868
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	dynamic reliability; Markov analysis; performance analysis; maintenance; Weibull distribution; compressor station; RWE Transgas (en)
http://linked.open.../riv/klicoveSlovo	Markov analysis RWE Transgas Weibull distribution compressor station dynamic reliability maintenance performance analysis
http://linked.open...ontrolniKodProRIV	[72CE11EEEE94]
http://linked.open...v/mistoKonaniAkce	Troyes, France
http://linked.open...i/riv/mistoVydani	London, UK
http://linked.open...i/riv/nazevZdroje	Advances in Safety, Reliability and Risk Management
http://linked.open...in/vavai/riv/obor	JS
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced Remedial Technologies and Processes
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Chudoba, Josef
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-01-01 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Taylor&Francis Group
https://schema.org/isbn	978-0-203-13510-5
http://localhost/t...ganizacniJednotka	24220

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